GRADUATE

Computer Engineering M.Eng and Ph.D.

Computer Engineering M.Eng and Ph.D.

Wireless Network Systems and Security

Numerous laboratories at Stevens support the development of cutting edge hardware and software to support new horizons in wireless and multimedia networking, cognitive radio, and signal processing. The Computer Engineering faculty includes leaders in the field, and complementary instructional and hands-on lab facilities facilitate thorough theoretical and applied learning experiences. Funded research on campus and active partnerships between departments and regional institutions provide students with rich opportunities to explore problems on the horizon in electronic and data technologies.

Research in Focus

Advanced Signal Processing to Improve Communications

Funded research at Stevens is advancing the state of the art in signal processing, networking, and wireless communications. Dr. Hongbin Li is currently researching ways to develop an integrated framework for wireless sensor networks. His goal is to develop new sensing and inference techniques by exploiting learning and collaboration among sensor nodes. These techniques will afford improved awareness of the dynamically changing environment in a cognitive network. Dr. Li has received funding from the National Science Foundation and the Air Force Research Laboratory for projects that are expected to have significant economic and social impact.

Cognitive Radio and Internet Security

Stevens is a leading research center for cognitive and software-defined radio. Dr. Rajarathnam Chandramouli has received NSF and National Institute for Justive support for his cognitive radio prototypes, especially in support of first responder communications systems, and received the NSF CAREER Award. Dr. Chandramouli's research focuses on the advancement in several specialties, including; Cognitive radio networks, wireless security, Internet media security and forensics (steganography, text forensics, etc.), computational biology, and applied probability theory. Dr. Chandramouli is the Founding Chair of the IEEE COMSOC Technical Committee on Cognitive Networks, Member of the IEEE COMSOC Standards Board and serves on several journal editoral boards and international conference organization committees. He has given plenary and keynote talks in several major international conferences.

Built-In Multimedia Network Security

As Director of the Multimedia Systems, Networking and Communications Lab, Dr. K. Subbalakshmi analyzes multimedia security, wireless and cognitive radio network security, sensor networks, and wireless multimedia networking. Working on the cutting edge of developing technologies, Dr. Subbalakshmi is incorporating unique security features holistically into system designs. Her research has resulted in multiple grant and funding awards, including NSF funding, Stevens research awards, and one U.S. patent. She is a co-founder of InStream Media, LLC, a Stevens Start-up company.

Machine Learning and Information Security

Dr. Yingying Chen researches wireless and systems security, mobile wireless networks, sensor networks, cognitive radios, distributed systems, and bioinformatics. She specializes in using machine learning techniques (e.g., clustering analysis and reinforcement learning) and data mining methods (e.g., dynamic Bayesian learning and ensemble learning) to classify and model the network, system, and healthcare related problems. She is director of the Data Analysis and Information Security (DAISY) Lab, which focuses on both addressing the problems in information security, system privacy, and data integrity using statistical approaches and machine learning techniques, as well as building test beds to facilitate research in these areas. Her research has resulted in co-authoring of a book entitled, "Securing Emerging Wireless Systems," contributions to various journals and conference publications, and sponsorship from the National Science Foundation and the Department of Defense.

Entrepreneurship

Admission Requirements

Admission into the Graduate Certificate or Master's Degree programs requires an undergraduate degree in Engineering, or in a related discipline, with a grade point average of "B" or better from an accredited college or university.

Required Documentation

All applicants must submit the following documents to be considered for admission:

Completed online application for admission

Official college transcripts from all colleges attended

Two letters of recommendation

Statement of Purpose

GRE scores*

Application fee

Optional Documents:

Resume/CV

* Starting Fall 2014 GRE scores required for all applicants applying into a full-time graduate program in the School of Engineering and Sciences. (Code #2819) All scores are only valid for five years prior to the application term.GRE required for all PhD applicants.

Additional Requirements for International Applicants

Approximately two weeks following receipt of the above material, you will receive a decision letter from the Office of Graduate Admissions. If accepted you will receive an acceptance letter outlining the program to which you were accepted, as well as your assigned Academic Advisor's contact information.